You may have heard quite a bit about SKAN lately. But what exactly is it? SKAN is the framework developed by Apple for attributing installations in mobile applications. The main goal is to help measure campaign activity without revealing the identity of users. In the case of SKAN, the App Store itself acts as an intermediary in the measurement, and the attribution process is carried out using Apple’s technology.
In short, when a user downloads from an Ad, Apple provides basic information to the advertiser to indicate if the installation resulted from the Ad without revealing who made the download, thus protecting user privacy.
The most well-known version is SKAN 3, which continues to be the most used. However, the industry has gradually transitioned to SKAN 4, which offers more measurement and optimization data.
Unlike version 3.0, which only received one postback, with SKAN 4.0, we have up to 3 postbacks, each corresponding to a specific attribution window.
The so-called lockWindow:
The main advantage of lockWindow is the reduced waiting time for a postback. However, shortening its duration also reduces the information available in each measurement window. The lock does not apply to inactive users, which could distort the data sets toward more active or higher-value users.

(Source: Apple Developer)
With each new version, SKAN offers much more value but becomes more difficult and challenging. There are many factors involved, but having an overall view of what to define and how to act can help us familiarize ourselves with a change that will be inevitable.
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